My day consisted of a combination of Project Management Analytical and Process Improvement tasks and projects I had to partake in many zoom meetings and learn how to use various new systems and softwares quickly to perform my job swiftly and correctly
Mainly aiding audit readiness Refining audit checklist organising folders communicating with other team members regarding specific processes where clarification is needed Organising meetings with senior management and regulatory controls Taking minut
My role was to analyse company making a recommendation on its rating depending on the industry challenges and trends the company039s performance the risk that the company or the sector could face but also the potential mitigants that could nuance th
Daytoday task were projects shadowing and networking events For more details on projects they include pitching trade ideas implementing systematic strategies using Python building a yield curve according to a model published by the FED excel autom
Morning meeting notes trade ideas networking with other desks group speaker events amp quizzes projects for desk trading simulation games research amp admin work for desk
Focused on automating as many team tasks as possible in order to increase efficiency and free team members Creating visualisation based on result from automated tasks to provide to senior members for presentations to key stakeholders Working on propriat
Completed a Process Improvement project adding value by improving the efficiency of a current highly manual process The project also included aspects of Analytics amp Project Management stakeholder engagement amp planning
Working on individual project as well as provide assistance to the team in BAU tasks
We would get in and have a networking event with our peers then would enter the events for the day The events included panels presentations interactive learning sessions and then a follow up case study session to apply our knowledge Next we would go
5 day insight with each day consisting of similar format but with different parts of the bank Given opportunity to listen and ask questions in panel talks network throughout the day engage in job simulation and case studies and even take part in a mo
Every day we would begin with a light breakfast where we would then at around 8309am would get a breifing about what would happen that day We would then complete a various amount of lectures events and networking which would give us a good grasp of wh
I039ve gained valuable insights into finance engineering and branding through educational sessions enriching my understanding of JP Morgan039s strategic landscape and corporate culture
I developed backend APIs in Python I supported the needs of the business by making data analysis easy I spoke to other employees to find out more about their needs and implemented functionality to address them
My daily activities included coding testing software applications collaborating with team members participating in meetings and learning from experienced professionals I worked on real projects and gained lots of practical experience in software dev
I worked as a software engineer at the investment banking division at JP Morgan My daytoday involved reviewing product requirements with product owners or managers participating in design and testing meetings implementing UI and backend features a
Attend their informational events networking activities regarding the software engineering role
Collaborated with sales trading and legal functions to structure bespoke financing solutions for clients The daytoday involved researching digesting legal contracts and laws modelling and meeting clients and the functions the team worked with
In my role I oversaw the entire software development life cycle This encompassed gathering user feedback writing and testing code for a web application and utilizing technologies like Angular the Elastic Stack and Python Additionally I integrated
Networking workshops tours around campus
Mostly consists of powerpoint and excel Updating PowerPoint decks for marketing pitches with new information and proprietary data as well as improving and refining formatting Financial modelling in Excel and data aggregation
